Sr Site Reliability Engineer

Commence is a company focused on data-centric transformation in healthcare, aiming to improve health outcomes through innovative solutions. They are seeking a Senior Site Reliability Engineer to ensure the reliability and operational health of their healthcare data platform, bridging the gap between engineering and operations.

Responsibilities:

• Design, implement, and own observability infrastructure including metrics, logging, tracing, and alerting across distributed systems
• Define and enforce SLOs, SLIs, and error budgets in partnership with product and engineering teams
• Lead incident response: triage, coordinate remediation, conduct blameless post-mortems, and drive systemic fixes
• Build and maintain CI/CD pipelines that support rapid, safe delivery of changes to production
• Collaborate with engineering teams on infrastructure changes; able to read, modify, and contribute to existing infrastructure-as-code (Terraform or CloudFormation)
• Design and operate highly available, fault-tolerant systems—including auto-scaling, failover, and disaster recovery strategies
• Reduce operational toil through automation; eliminate manual processes before they become habits
• Collaborate with software engineers to establish reliability-first design patterns and review architectures for operational risk
• Manage Kubernetes or container orchestration environments at scale
• Ensure systems meet compliance and security requirements, particularly those applicable to healthcare data (HIPAA, SOC 2)
• Provide technical mentorship and guidance to engineers across the organization on reliability practices
• Participate in on-call rotation with a commitment to continuously reducing the need for it

Requirements:

• 7+ years of experience in SRE, platform engineering, or DevOps roles
• Exceptional problem-solving under pressure—demonstrated track record of diagnosing complex, high-stakes system failures and building durable solutions
• Deep hands-on experience with AWS services including EC2, EKS/ECS, Lambda, RDS, S3, CloudWatch, and related tooling
• Familiarity with infrastructure-as-code (Terraform or CloudFormation)—able to contribute to existing configurations
• Experience designing and operating distributed systems with strict availability and latency requirements
• Proficiency in at least one scripting or systems language (Python, Go, Bash, or similar) for automation and tooling
• Experience with container orchestration (Kubernetes, ECS) in production environments
• Expertise in observability tooling (OpenSearch, Prometheus/Grafana, or equivalent)
• Hands-on experience with CI/CD platforms (GitHub Actions, Jenkins, CircleCI, or similar)
• Proven ability to define and operationalize SLOs and error budgets
• Experience with relational and NoSQL databases—performance tuning, replication, and backup strategies
• Strong working knowledge of networking fundamentals: DNS, load balancing, VPCs, TLS
• Excellent communication skills—able to translate technical risk into business impact for non-engineering stakeholders
• AWS Certifications (Solutions Architect, DevOps Engineer, or SysOps Administrator)
• Experience in healthcare technology or other regulated industries (HIPAA, SOC 2, FedRAMP)
• Familiarity with chaos engineering practices and tooling
• Experience with data pipeline reliability (ETL/ELT workflows, streaming systems)
• Exposure to AI/ML infrastructure and the reliability challenges unique to model serving
• Familiarity with additional cloud platforms (Azure, Google Cloud)
• Contributions to open-source reliability or infrastructure tooling